N-Gram House
Text-to-Image Prompting for Generative AI: Master Styles, Seeds, and Negative Prompts
Master text-to-image prompting with styles, seeds, and negative prompts to generate high-quality AI images. Learn how Midjourney, Stable Diffusion, and Imagen 3 handle prompts differently in 2026.
Adapter Layers and LoRA for Efficient Large Language Model Customization
LoRA and adapter layers let you customize large language models with minimal resources. Learn how they work, when to use each, and how to start fine-tuning on a single GPU.
Replit for Vibe Coding: Cloud Dev, Agents, and One-Click Deploys
Replit lets you code, collaborate, and deploy apps in your browser with AI-powered agents and one-click launches. No setup. No installs. Just build.
Synthetic Data Generation with Multimodal Generative AI: Augmenting Datasets
Synthetic data generation using multimodal AI creates realistic, privacy-safe datasets by combining text, images, audio, and time-series signals. It's transforming healthcare, autonomous systems, and enterprise AI by filling data gaps without compromising privacy.
Scheduling Strategies to Maximize LLM Utilization During Scaling
Smart scheduling can boost LLM utilization by up to 87% and cut costs dramatically. Learn how continuous batching, sequence scheduling, and memory optimization make scaling LLMs affordable and fast.
Measuring Hallucination Rate in Production LLM Systems: Key Metrics and Real-World Dashboards
Learn how top companies measure hallucination rates in production LLMs using semantic entropy, RAGAS, and LLM-as-a-judge. Real metrics, real dashboards, real risks.
Ethical Considerations of Vibe Coding: Who’s Responsible for AI-Generated Code?
Vibe coding speeds up development but shifts ethical responsibility to developers who didn't write the code. Learn why AI-generated code is risky, how companies are handling it, and what you must do to avoid legal and security disasters.
Health Checks for GPU-Backed LLM Services: Preventing Silent Failures
Silent failures in GPU-backed LLM services cause slow, inaccurate responses without crashing - and most monitoring tools miss them. Learn the critical metrics, tools, and practices to detect degradation before users do.
Latency Management for RAG Pipelines in Production LLM Systems
Learn how to cut RAG pipeline latency from 5 seconds to under 1.5 seconds using Agentic RAG, streaming, batching, and smarter vector search. Real-world fixes for production LLM systems.
Procurement Checklists for Vibe Coding Tools: Security and Legal Terms
Vibe coding tools like GitHub Copilot and Cursor speed up development but introduce serious security and legal risks. This guide gives you the exact checklist to safely adopt them in 2025.
How to Detect Implicit vs Explicit Bias in Large Language Models
Large language models can pass traditional bias tests while still harboring hidden, implicit biases that affect real-world decisions. Learn how to detect these silent biases before deploying AI in hiring, healthcare, or lending.
Why Transformers Replaced RNNs in Large Language Models
Transformers replaced RNNs because they process language faster and understand long-range connections better. With parallel computation and self-attention, models like GPT-4 and Llama 3 now handle entire documents in seconds.
